Predictive Validity of the Aggressive Driver Behavior Questionnaire (ADBQ) in a Simulated Environment

Brill, J. Christopher; Mouloua, Mustapha; Shirkey, Edwin C.; Alberti, Pascal

doi:10.1518/107118109x12524443346996

Cited by 9 publications

(13 citation statements)

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“…The "extra" 20th item was developed by splitting one of the factors. Recent efforts have concerned determining the psychometric properties of the ADBQ, including an investigation into the predictive validity of the questionnaire (Brill, Mouloua, & Shirkey, 2009).…”

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confidence: 99%

Exploration of the Factor Structure and Internal Consistency of the Aggressive Driving Behavior Questionnaire (ADBQ)

Brill

Mouloua

2011

Proceedings of the Human Factors and Ergonomics Society Annual

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The present investigation is part of a series of studies to develop a questionnaire for assessing propensity to engage in aggressive driving behavior. The 20-item Aggressive Driving Behavior Questionnaire (ADBQ) was administered to a sample of 495 college students from two universities. The data were factor analyzed, yielding six factors accounting for 56% of the variance and representing distinct aspects of aggressive driving. The ADBQ was also found to have a high internal consistency (Cronbach’s alpha = .77). Directions for future development and validation of the ADBQ are discussed.

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confidence: 99%

Exploration of the Factor Structure and Internal Consistency of the Aggressive Driving Behavior Questionnaire (ADBQ)

Brill

Mouloua

2011

Proceedings of the Human Factors and Ergonomics Society Annual

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“…Further implementation of the ADBQ questionnaire by (Gurda, 2012), gave a slightly higher average scores for aggressive driving among students (55.2). Previous investigation suggested the questionnaire is a valid predictor of aggressive driving in a simulated environment (Brill et al, 2009).…”

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confidence: 99%

The Influence of Aggressive Driving Behavior and Impulsiveness on Traffic Accidents

Antić¹,

Čabarkapa²,

Čubranić-Dobrodolac³

et al. 2018

IJTTE

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Findings from numerous studies pointed out the importance of studying certain forms of behavior and personality traits in order to understand propensity to commit unsafe maneuvers in traffic. The present study aims at evaluating the potential contribution of impulsiveness and aggressive driving in the prediction of traffic accidents, and at investigating relationship among them. Besides, the second main goal is to compare the levels of impulsiveness and aggressiveness among three considered groups: bus drivers, truck drivers and non-professional drivers. Participants were 305 drivers who completed the BIS-11 (Barrat Impulsiveness Scale) and ADBQ (Aggressive Driving Behavior Questionnaire). Research sample comprised of 202 professional drivers (bus drivers and truck drivers), and 103 non-professional drivers. The results showed a statistically significant relationship between impulsiveness correlates and correlates of aggressive driving behavior. Bus drivers and truck drivers showed higher levels of impulsiveness in comparison to non-professional drivers, while the highest level of aggression is recorded among non-professional drivers, followed by truck drivers and bus drivers. Finally, the results of hierarchical regression analysis showed that impulsiveness as a personality trait, as well as aggressive driving, are good predictors of traffic accidents.

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“…Social Psychology studies [9,10] have examined the aggressiveness according to the background of the driver, including age, gender, violation records, power of cars, occupation, etc. Mouloua et al [11] designed a questionnaire on subjects' previous aggressive driving behavior, and concluded that these drivers also repeated those behaviors under a simulated environment. Meiring et al [1] used several statistical reports to conclude that distracted behaviors and drunk behaviors are also serious threats to road safety.…”

Section: Figurementioning

confidence: 99%

Identifying Driver Behaviors Using Trajectory Features for Vehicle Navigation

Cheung

Bera

Kubin

et al. 2018

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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We present a novel approach to automatically identify driver behaviors from vehicle trajectories and use them for safe navigation of autonomous vehicles. We propose a novel set of features that can be easily extracted from car trajectories. We derive a data-driven mapping between these features and six driver behaviors using an elaborate web-based user study. We also compute a summarized score indicating a level of awareness that is needed while driving next to other vehicles. We also incorporate our algorithm into a vehicle navigation simulation system and demonstrate its benefits in terms of safer real-time navigation, while driving next to aggressive or dangerous drivers.There has been a wide range of work studying drivers' behaviors in Social Psychology and Transportation. Feng et al. [2] proposed five driver characteristics (age, gender, year of driving experience, personality via blood test, and education level) and four environmental factors (weather, traffic situation, quality of road infrastructure, and other cars' behavior), and mapped them to 3 levels of aggressiveness (driving safely, verbally

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Predictive Validity of the Aggressive Driver Behavior Questionnaire (ADBQ) in a Simulated Environment

Cited by 9 publications

References 0 publications

Exploration of the Factor Structure and Internal Consistency of the Aggressive Driving Behavior Questionnaire (ADBQ)

Exploration of the Factor Structure and Internal Consistency of the Aggressive Driving Behavior Questionnaire (ADBQ)

The Influence of Aggressive Driving Behavior and Impulsiveness on Traffic Accidents

Identifying Driver Behaviors Using Trajectory Features for Vehicle Navigation

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